Pinned Repositories
2019-ZJU_SummerResearch
The task is to restate a thesis and redo the experiment following the instructions in the paper.
adversarial_learning
Adversarial Learning for Credit Card Fraud Detection
AGCRN
Adaptive Graph Convolutional Recurrent Network
CS449_Computer_Vision
DSC440-Data-Mining
Final project
Predict-Clinical-Insomnia-Among-Cancer-Survivors-Using-Machine-Learning-Approaches-
Statistical_Learning
STGAE
Code repo for Spatio-Temporal Denoising Graph Autoencoder (STD-GAE)
US-fatal-police-shooting-analysis-and-prediction
Methodology: We defined the reporting deviation rate and total absolute reporting deviation rate to evaluate the media's reporting bias. In WP dataset analysis, we used FP-growth and word cloud to reveal the frequent patterns and DBSCAN clustering to find fatal shooting hotspots. We also implemented correlation analysis to analyze the correlation between multiple numeric attributes and fatal police shooting rate and tested the significance of their correlations. We used T-test/ANOVA to measure the significance of the fatal police shooting rate by categorical attributes. In fatal police shooting rate prediction, we used results of correlation analysis to select numeric predictors. We constructed a series of regression models, including Kstar, K-Nearest-Neighbor, Random Forest, and Linear Regression, to predict the state level's fatal police shooting rate. In the victims' race prediction, we used Chi-square testing to make variables selection. We built a series of classification models, including Gradient Boosting Machine, Multi-class Classifier, Logistic Regression, and Naïve Bayes Classifier, to predict the race of fatal police shooting victims.
VIStA_research
Yangxin666's Repositories
Yangxin666/STGAE
Code repo for Spatio-Temporal Denoising Graph Autoencoder (STD-GAE)
Yangxin666/2019-ZJU_SummerResearch
The task is to restate a thesis and redo the experiment following the instructions in the paper.
Yangxin666/awesome-graph-explainability-papers
Papers about explainability of GNNs
Yangxin666/darknet
Convolutional Neural Networks
Yangxin666/flow-imputation
Yangxin666/GAIN
Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
Yangxin666/GATE
Graph Attention Auto-Encoders
Yangxin666/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Yangxin666/GNNPapers
Must-read papers on graph neural networks (GNN)
Yangxin666/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Yangxin666/Graph_Autoencoder_Based_Imputation_Summary
Yangxin666/grin
Code for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks"
Yangxin666/MAGNN
Yangxin666/Materials-Design-Ontology
An Ontology for the Materials Design Domain
Yangxin666/MIDASpy
Python package for missing-data imputation with deep learning
Yangxin666/PVplr-stGNN
Source codes for Python package PVplr-stGNN
Yangxin666/pyLODE
An OWL ontology documentation tool using Python and templating, based on LODE
Yangxin666/SAITS
The official code repository for paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) imputation model with effeciency.
Yangxin666/serenade
Session-based recommender system: Serenade
Yangxin666/Shift-Robust-GNNs
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
Yangxin666/spatiotemporal_datasets
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Yangxin666/SSSD
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
Yangxin666/ST-GTrend
Parallel-friendly Spatio-Temporal Graph Learning for Large-scale Photovoltaic Degradation Analysis
Yangxin666/Time-Series-Work-Conference
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)
Yangxin666/timeseries-tutorial-kdd-2022
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
Yangxin666/Traffic-Prediction-Open-Code-Summary
Summary of open source code for deep learning models in the field of traffic prediction
Yangxin666/transdim
Machine learning for transportation data imputation and prediction.
Yangxin666/website
Yangxin666/Yangxin_Fan
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Yangxin666/YXF_PW